other · Figshare · 2019

Recent trends in neuromorphic engineering

Soman, Sumit, Jayadeva, Manan Suri

Cited by 0Open access

Abstract

Abstract Neuromorphic Engineering has emerged as an exciting research area, primarily owing to the paradigm shift from conventional computing architectures to data-driven, cognitive computing. There is a diversity of work in the literature pertaining to neuromorphic systems, devices and circuits. This review looks at recent trends in neuromorphic engineering and its sub-domains, with an attempt to identify key research directions that would assume significance in the future. We hope that this review would serve as a handy reference to both beginners and experts, and provide a glimpse into the broad spectrum of applications of neuromorphic hardware and algorithms. Our survey indicates that neuromorphic engineering holds a promising future, particularly with growing data volumes, and the imminent need for intelligent, versatile computing.

Cite this paper

APA 7

Soman, S., Jayadeva, & Suri, M. (2019). Recent trends in neuromorphic engineering. Figshare. https://doi.org/10.6084/m9.figshare.c.4712675.v1

MLA 9

Soman, Sumit, et al. “Recent trends in neuromorphic engineering.” Figshare, 2019, https://doi.org/10.6084/m9.figshare.c.4712675.v1.

Chicago

Soman, Sumit, Jayadeva, and Manan Suri. 2019. “Recent trends in neuromorphic engineering.” Figshare. https://doi.org/10.6084/m9.figshare.c.4712675.v1.

Harvard

Soman, S., Jayadeva and Suri, M. (2019) ‘Recent trends in neuromorphic engineering’, Figshare. Available at: https://doi.org/10.6084/m9.figshare.c.4712675.v1.

BibTeX

@misc{soman2019recent,
  title = {{Recent trends in neuromorphic engineering}},
  author = {Soman, Sumit and Jayadeva and Suri, Manan},
  journal = {Figshare},
  year = {2019},
  doi = {10.6084/m9.figshare.c.4712675.v1}
}

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